At a Glance
- Tasks: Design AI-driven analytics for traders and build scalable data pipelines using Databricks.
- Company: Join a leading firm in trading analytics with a focus on innovation.
- Benefits: Competitive daily rate, flexible hybrid working, and opportunities for professional growth.
- Other info: Collaborate directly with traders and analysts in a dynamic environment.
- Why this job: Make an impact in the trading world with cutting-edge AI technology.
- Qualifications: Experience with Databricks, Spark, and strong data engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
Duration: Contract
Workload: Full time hours
Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader)
Location: London - hybrid working
We need an AI Engineer with a strong data engineering core to build AI‑powered analytics for front‑office trading teams using Databricks, Spark, and modern LLM workflows.
Key Responsibilities:
- Design and deliver AI‑driven analytics for traders, including seasonality, correlations, regression, forecasting, and scenario modelling.
- Build scalable, reusable data pipelines in Databricks using PySpark, Spark SQL, Delta Lake, and Unity Catalog.
- Perform statistical and econometric analysis on large market and fundamentals time‑series datasets.
- Work directly with traders and analysts to turn ambiguous questions into production‑ready tools and clear insights.
- Implement LLM and agentic workflows (prompt engineering, LangGraph, MCP, tool calling, retrieval, guardrails).
- Productionise solutions with testing, observability, versioning, documentation, and CI/CD.
Must‑Have Skills:
- Hands‑on Databricks and Spark expertise (PySpark, SQL, Delta, Unity Catalog).
- Strong data engineering background: ingestion, modelling, orchestration, performance tuning.
- Solid statistics/econometrics for market time series.
- Experience building and integrating LLM solutions.
- Excellent communication and stakeholder engagement skills.
Nice‑to‑Have:
- Commodity or financial trading background.
- Knowledge of market microstructure, supply/demand fundamentals, or risk.
Remote C# Engineer in London employer: Airswift
As a Remote C# Engineer with our company, you will thrive in a dynamic and innovative environment that champions collaboration and creativity. We offer competitive daily rates, flexible working arrangements, and a strong focus on professional development, ensuring you have the tools and support needed to excel in your role. Our London-based team fosters a culture of inclusivity and continuous learning, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote C# Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant groups on LinkedIn, and attend meetups. The more connections we make, the better our chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and Spark. We want to demonstrate our expertise in building AI-driven analytics and data pipelines.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI engineering and data analytics. We should be ready to discuss our experience with LLMs and how we've tackled real-world problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our approach to highlight our strengths in trading analytics and data engineering.
We think you need these skills to ace Remote C# Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Engineer. Highlight your experience with Databricks, Spark, and LLMs, and don’t forget to showcase any relevant projects that demonstrate your skills in building AI-driven analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific experiences that relate to the key responsibilities and must-have skills listed in the job description.
Showcase Your Communication Skills:Since excellent communication is a must-have, make sure your application reflects this. Use clear and concise language, and structure your documents well. This will show us that you can effectively engage with stakeholders.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Airswift
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and Spark skills. Be ready to discuss how you've used PySpark, SQL, and Delta Lake in past projects. Prepare some examples of data pipelines you've built and be ready to explain the challenges you faced and how you overcame them.
✨Showcase Your Analytical Skills
Since the role involves statistical and econometric analysis, be prepared to talk about your experience with market time-series datasets. Think of specific scenarios where you've applied regression, forecasting, or scenario modelling, and how those insights benefited your team or project.
✨Communicate Clearly
Excellent communication is key, especially when working with traders and analysts. Practice explaining complex technical concepts in simple terms. You might even want to prepare a few questions to ask them about their needs, showing that you're not just a techie but also someone who understands their business.
✨Prepare for LLM Discussions
Given the focus on LLM workflows, make sure you can discuss your experience with prompt engineering and integrating LLM solutions. Have examples ready that demonstrate your understanding of agentic workflows and how you've implemented them in previous roles.
